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Advanced Series on Statistical Science and Applied Probability - Vol. 7
STOCHASTIC METHODS IN HYDROLOGY
Rain, Landforms and Floods
CIMAT, Guanajuato, Mexico 25 - 28 March 1996
edited by O E Barndorff-Nielsen (Aarhus University, Denmark), V K Gupta (University of Colorado, USA), V Pérez-Abreu (CIMAT, Mexico) & E Waymire (Oregon State University, USA)
This book communicates some contemporary mathematical and statistical developments in river basin hydrology as they pertain to space–time rainfall, spatial landform and network structures and their role in understanding averages and fluctuations in the hydrologic water balance of river basins. While many of the mathematical and statistical nations have quite classical mathematical roots, the river basin data structure has led to many variations on the problems and theory.
Contents:
- Stochastic Spatial-Temporal Models for Rain (D R Cox & V Isham)
- On
Scaling Theories of Space-Time Rainfall: Some Recent Results and Open Problems (E Foufoula-Georgiou)
- Modeling of Drop Size Distribution and Its Applications to Rainfall Measurements from Radar (J M Porrŕ et al.)
- Spatial Channel Network Models in Hydrology (B M Troutman & M R Karlinger)
- Some Mathematical Aspects of Rainfall, Land-Forms, and Floods (V K Gupta & E C Waymire)
- Efficient Extraction of River Networks and Hydrologic Measurements from Digital Elevation Data (S D Peckham)
Readership: Statisticians.
"This book presents an exciting review of developments in stochastic hydrology (with a helpful index) and includes many useful references."
| International Statistical Institute |
| 224pp |
Pub. date: Apr 1998 |
This is a Print On Demand title. We no longer stock the original but will recreate a copy for you. While all efforts are made to ensure that quality is the same as the original, there may be differences in some areas of the design and packaging.
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